Schedule

Here’s your roadmap for the year!

Every class session has four important sections. You should read about the details for each using the main menu at the top of this webpage.

Prepare (): This page overviews the weeks
Lecture slides (): This page is for lectures
Lab activities (): This page is about labs
Reading (): This page is about Extras
Mini-Diss (): This page contains an interactive lesson that teaches you the principles and code you need to know. Go through these after doing the content.

tl;dr: You should follow this general process each week:

Check out the overview () page and do any thinking/reading/prep suggested if you have the chance
Come to the lecture () page
Attend the lab () and get cracking
Use the plentiful Mini-Diss resources () to help you smash the MD

Weekly schedule

week	date	topic	notes
1	Monday, 02 October	WOOHOO!
2	Monday, 09 October	Hello R!	Got some spicy notes for you here my darlings
3	Monday, 16 October	Visualizing various types of data
4	Monday, 23 October	stuff	And how about here? THis is some badass
5	Monday, 30 October	more stuff
Reading Week
6	Monday, 13 November	Data visualization
7	Monday, 20 November	Working with multiple data frames
8	Monday, 27 November	Data wrangling
9	Monday, 04 December	Data types and classes
10	Monday, 11 December	Data tidying
Winter Break
11	Monday, 08 January	great
12	Monday, 15 January	Data science ethics - Misrepresentation
13	Monday, 22 January	No lab - Fall break
14	Monday, 29 January	Web scraping
15	Monday, 05 February	Functions + iteration
Reading Week
16	Monday, 19 February	Probability + Simpson's Parado
17	Monday, 26 February	Models with multiple predictors
18	Monday, 04 March	Predicting a numerical outcome
19	Monday, 11 March	goodness
20	Monday, 18 March	crikey

Week	Dates	Topic